IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v51y2020i16p3347-3363.html
   My bibliography  Save this article

General decay synchronisation of discontinuous fuzzy neural networks with discrete and distributed time-delays via nonlinear feedback control

Author

Listed:
  • Fanchao Kong
  • Quanxin Zhu

Abstract

This paper aims to provide a new framework to study the general decay synchronisation analysis of a class of fuzzy neural networks with discontinuous activations, discrete and distributed time-delays. To achieve the targets, by using functional differential inclusions theory, inequality technique and the non-smooth analysis of Lyapunov–Krasovskii functional, some verifiable algebraic criteria are given to guarantee the general decay synchronisation via a new nonlinear feedback controller. The nonlinear feedback controller can not only deal with the discontinuous activations but also the mixed time-varying delays. Compared with the previous results on general decay synchronisation of delayed neural networks, the theoretical results of this paper are more generalised and inclusive. Finally, two simulation examples have been shown to verify the correctness and advantages of our main results.

Suggested Citation

  • Fanchao Kong & Quanxin Zhu, 2020. "General decay synchronisation of discontinuous fuzzy neural networks with discrete and distributed time-delays via nonlinear feedback control," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(16), pages 3347-3363, December.
  • Handle: RePEc:taf:tsysxx:v:51:y:2020:i:16:p:3347-3363
    DOI: 10.1080/00207721.2020.1814897
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2020.1814897
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207721.2020.1814897?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tsysxx:v:51:y:2020:i:16:p:3347-3363. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSYS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.